📌 Building and scaling Maya, a native Micro Front-End framework powering over 40+ modular MFEs across Albert, enabling independent deployments, 70% faster feature rollouts, and dynamic slot-based nesting with isolated state/event lifecycles.

📌 Developed AlbertUI, a declarative component library with 30+ reusable components, reducing UI boilerplate by 60%, improving developer onboarding time by ~40%, and standardizing event-driven behavior via Maya’s store integration.

📌 Created BulkInventory feature, a high-volume workflow tool adopted across 5+ customer verticals, reducing manual entry by 80% and improving operational efficiency for customers handling thousands of SKUs.

📌 Optimized Tesla’s ERP and IT infrastructure using .NET Core, Next.js, SQL, Postman, Splunk, and RESTful APIs, boosting system efficiency by 25% and reducing manual workflows by 40%.

📌 Resolved data inconsistencies in Tesla’s WARP system, delivering real-time analytics dashboards that improved demand forecasting accuracy by 20%.

📌 Developed high-performance microservices in Go, enhancing backend scalability and reducing API response latency for critical supply chain workflows.

📌 Developed a BiLSTM prediction model employing a Huber loss function to accurately forecast power

consumption 20 seconds in advance, driven by variable server load. This innovation facilitated on-

demand IT capacity provisioning and precise cooling control in data centers

📌 Integrated the aforementioned model into a live production environment of 300+ servers,enabling

automated scaling and cooling based on real-time server utilization

📌 Engineered and developed a digital platform utilizing Spring Boot, Spring Security, PostgreSQL,

Docker,and Next JS . Seamlessly integrating with university research infrastructure, the platform

incorporated a robust searching mechanism powered by Elasticsearch , and was deployed on AWS

Elastic Beanstalk. This initiative yielded an impressive 80% reduction in time for document retrieval,

evaluation, and sharing

📌 Collaborated with a team of engineers to refine an ext4 file system in C , contributing to the integration

of Open MPI for benchmarking purposes. This collaborative effort resulted in a notable 30% increase

in data throughput and a 20% reduction in latency. Key contributions included assisting in the

implementation of sophisticated file system algorithms such as B-tree indexing and Copy-on-write

(COW)

📌 Orchestrated a 3+ member team to develop a scalable, maintainable General Electric Corporate

application using React JS, Node JS and Typescript that automated the development of static GE

Corporate Webpages for 20+ applications, adopted by nearly 700+ users

📌 Implemented Apache Kafka to optimize application performance by enabling efficient queuing of

intensive jobs, while seamlessly integrating Elastic Search into the Node JS environment to enhance

transaction indexing, resulting in a notable 20% increase in application speed and facilitated optimized

data retrieval with key-based indexing

📌 Executed the redesign of the General Electric Aviation website from AngularJS to VueJS , harnessing

modern front-end technology and advanced JavaScript features, resulting in a significant 30% boost

in UX task success rates

📌 Ensured rigorous testing practices using JUnit, Jest and Enzyme , achieving over 88% coverage with

2,500+ unit and integration tests written during application development

📌 Integrated GraphQL caching mechanisms, resulting in a 70% reduction in network requests and a 40%

improvement in page load times, significantly enhancing application responsiveness and user

experience